6/6: We hope our work will inspire further research on the intrinsic difficulty of translating and generating different languages in the age of LLMs, particularly through experimentation with alternative decoding strategies.

For now, I'm looking forward to presenting our work in Rabat, Morocco 🇲🇦

5/6: In the context of
searching for the model’s highest-probability translation, we found that languages with more complex morphology and flexible word order benefit more from wider beam size.

In other words, the standard practice of left-to-right beam search may be suboptimal for these languages.

4/6: Through correlation and regression experiments, we found that language properties like typological distance, type/token ratio, and head-finality drive translation quality of both NMT models, even after controlling for more trivial factors such as language resourcedness and script similarity.

3/6: We analyze 2 NMT models, NLLB-200 and Tower+.

Although current SOTA has shifted to prompting decoder-only LLMs such as Tower+, we find that NLLB achieves higher chrF++ scores on all languages outside Tower's coverage, reaffirming the relevance of encoder-decoders for low-resourced languages.

2/6: First, we compile a broad set of fine-grained typological and morphosyntactic features for 212 languages in the FLORES+ MT benchmark. We release this set publicly: github.com/v-hirak/expl...

Henry Cavill is a creep though

They aren't canonizing anything, this show is gonna be as canon as the millions of other people's playthroughs. It's just their take on the story

Thank you from a Ukrainian, Kala, sincerely 🙏 I love your Mass Effect content